Machine learning for the classification and separation of e-waste
EP Zhou - 2022 IEEE MIT Undergraduate Research …, 2022 - ieeexplore.ieee.org
The amount of global e-waste is growing at a rapid rate and is projected to increase to 74.7
Mt by 2030. However, according to a recent United Nation's study in 2019, the collection and …
Mt by 2030. However, according to a recent United Nation's study in 2019, the collection and …
Real time electronic-waste classification algorithms using the computer vision based on convolutional neural network (cnn): Enhanced environmental incentives
An innovative approach is needed to boost the economic value of e-waste by improving
metal recovery and facilitating the separation of plastics and valuable metal components …
metal recovery and facilitating the separation of plastics and valuable metal components …
[HTML][HTML] Application of deep learning object classifier to improve e-waste collection planning
P Nowakowski, T Pamuła - Waste Management, 2020 - Elsevier
This study investigates an image recognition system for the identification and classification
of waste electrical and electronic equipment from photos. Its main purpose is to facilitate …
of waste electrical and electronic equipment from photos. Its main purpose is to facilitate …
Deep learning approach to deal with e-waste
M Naushin, A Saraswat, K Abhishek - Advanced Machine Intelligence and …, 2022 - Springer
For the development of smart cities, electronic waste generation is one of the significant
issues to tackle. According to the United Nations, India is the third-largest e-waste generator …
issues to tackle. According to the United Nations, India is the third-largest e-waste generator …
ElectroSortNet: A Novel CNN Approach for E-Waste Classification and IoT-Driven Separation System
HH Rupok, N Sourov, SJ Anannaya… - … on Advancement in …, 2024 - ieeexplore.ieee.org
Recycling e-waste is paramount important because of its environmental impact and the
valuable resources that can be recovered. According to the United Nations Environment …
valuable resources that can be recovered. According to the United Nations Environment …
Transfer learning application for an electronic waste image classification system
Ş Öztürk-Birim, M Gündüz-Cüre - The Palgrave Handbook of Sustainable …, 2024 - Springer
E-waste or WEEE poses a growing environmental problem owing to the presence of toxic
substances. The improper disposal of e-waste can damage the environment and human …
substances. The improper disposal of e-waste can damage the environment and human …
Intelligent Waste Material Classification Using EfficientNet-B3 Convolutional Neural Network for Enhanced Waste Management
R Tripathi, H Shetty, K Patil, P Ingawale… - … Conference on Self …, 2023 - ieeexplore.ieee.org
In urban environments, the escalating accumulation of solid waste has emerged as a
pressing environmental and health concern, underscoring the need for effective waste …
pressing environmental and health concern, underscoring the need for effective waste …
Waste Classification Using Improved CNN Architecture
Waste classification and management is now a critical issue in the world which tend to
unbalance the environmental condition and cause several issues having a huge impact on …
unbalance the environmental condition and cause several issues having a huge impact on …
An Ensembling Approach for Efficient Waste Classification
YS Gupta, S Mukherjee - 2022 IEEE Silchar Subsection …, 2022 - ieeexplore.ieee.org
One of the major challenges faced by the recycling industry is waste segregation.
Unsegregated wastes are not favorable for the environment and manual segregation is quite …
Unsegregated wastes are not favorable for the environment and manual segregation is quite …
Classification of organic and solid waste using deep convolutional neural networks
R Faria, F Ahmed, A Das, A Dey - 2021 IEEE 9th Region 10 …, 2021 - ieeexplore.ieee.org
The total amount of waste is increasing all around the world day-by-day especially in urban
areas. The increasing amount of unprocessed waste is very dangerous to mankind as it …
areas. The increasing amount of unprocessed waste is very dangerous to mankind as it …